Relational database compatible with MySQL and PostgreSQL, built for the cloud. Performance and availability of commercial-grade databases at one-tenth the cost.

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.

Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. The service offers the security, availability, and reliability of commercial databases at one-tenth the cost. Amazon Aurora is managed by Amazon Relational Database Service (RDS), which automates time-consuming administrative tasks such as hardware provisioning, database configuration, patching, and backups.

Amazon Aurora offers a self-healing, fault-tolerant distributed storage system that automatically scales up to 128 TB per database instance. Amazon Aurora offers high levels of performance and availability, with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones (AZs).

Access the Amazon RDS Management Console to create your first Aurora database instance and begin migrating MySQL and PostgreSQL databases.

Amazon Chime is a cloud-based application that lets you connect online both inside and outside your organization. With Amazon Chime, you have the flexibility to choose the features you need, such as online meetings and video conferencing, and pay only when you use them.

Amazon Chime Voice Connector is a service that enables businesses to migrate their telephony workloads to AWS. IT professionals can use Voice Connector for low-cost SIP trunking from on-premises or cloud-based phone systems. Voice Connector supports inbound calls, outbound calls, or both. Developers can also use Voice Connector to create PSTN calls in their own applications using the Amazon Chime SDK, to stream audio for phone call analytics and machine learning.

Fast, highly programmable and secure content delivery network (CDN).

Amazon CloudFront is a rapid delivery network (CDN) service that delivers data, videos, applications and APIs to customers around the world with security, low latency and high transfer speeds in a developer-friendly environment.

CloudFront offers the most advanced security features, including field cryptography and HTTPS support, easily integrated with AWS Shield, AWS Web Application Firewall and Amazon Route 53 to offer protection against various types of attacks, including DDoS attacks on a network layer. And applications. These services reside together in integrated network points (globally sized and connected to the AWS network backbone), providing a more secure and high-performance experience available to users.

Our CloudFront easily works with any AWS source, such as Amazon S3, Amazon EC2, Elastic Load Balancing, or any custom HTTP source. It is possible to customize content delivery through CloudFront using the advanced computing resources and programmatic functions of CloudFront in AWS Lambda @ Edge.

Fast and flexible NoSQL database service for any scale.

Amazon DynamoDB is a document and key-value database that delivers single-digit millisecond performance at any scale. It is a durable, multi-region, multi-active, fully managed database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can process over 10 trillion requests per day and handle peaks of over 20 million requests per second.

Many of the world’s fastest-growing companies, including Lyft, Airbnb, and Redfin, as well as Samsung, Toyota, and Capital One, rely on the scale and performance of DynamoDB to support their mission-critical workloads.

Hundreds of thousands of AWS customers have chosen DynamoDB as their key-value document database for mobile and web apps, gaming, ad tech, IoT, and many other applications that require low-latency data access at any scale. Create a new table for your application and let DynamoDB handle the rest.

Amazon EC2.

Scalable and secure computing capacity to support virtually any workload.

Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure and scalable computing power in the cloud. It was designed to make web-scale cloud computing easier for developers. Amazon EC2's simple web service interface allows you to effortlessly obtain and configure capacity. It offers complete control over your computing resources and lets you work in Amazon's proven computing environment.

Amazon EC2 offers the largest and most comprehensive computing platform with a choice of processor, storage, network, operating system, and purchasing model. We offer the fastest processors in the cloud and are the only cloud with a 400 Gbps Ethernet network. We have the most powerful GPU instances for machine learning training and graphics workloads, as well as the lowest-cost instances per inference in the cloud. More SAP, HPC, machine learning, and Windows workloads run on AWS than on any other cloud. Click here to see what's new in Amazon EC2.

Fully managed in-memory data storage, compatible with Redis or Memcached. Provides sub-millisecond latency for real-time applications.

With Amazon ElastiCache, you can seamlessly set up, run, and scale popular open-source, supported in-memory data repositories in the cloud. Build data-intensive applications or boost the performance of existing applications by retrieving data from high-performance, low-latency in-memory data stores. Amazon ElastiCache is a popular choice for real-time use cases such as caching, session storage, gaming, geospatial services, real-time analytics, and queuing.

Amazon ElastiCache offers Redis, voted the developer's favorite database in the 2020 Stack Overflow Developer Survey, and fully managed Memcached for the most demanding applications that require sub-millisecond response times.

Protect your AWS accounts, workloads, and data with intelligent threshold detection and continuous monitoring.

Amazon GuardDuty is a threat detection service that continuously monitors for malicious activity and unauthorized behavior to protect your accounts, workloads, and data from AWS, not Amazon S3. It features new optimized queues and aggregation of accounts and network activity, but it can be time-consuming for security teams to continually analyze event log data for potential remediations. Like GuardDuty, you now have an intelligent and cost-effective option for continuous contact detection in AWS. The service uses machine learning, anomaly detection, and built-in remediation intelligence to identify and prioritize potential remediations. GuardDuty analyzes tens of billions of events across multiple AWS data sources, such as AWS CloudTrail event logs, Amazon VPC Flow Logs, and DNS logs. With a few clicks in the AWS Management Console, you can enable GuardDuty without any software or hardware to deploy or maintain. With integration with Amazon CloudWatch Events, GuardDuty alerts are convenient, easy to aggregate across multiple accounts, and easy to implement into existing event management systems and workflows.

Fast and reliable graph database built for the cloud.

Amazon Neptune is a fast, reliable, and fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. At the core of Amazon Neptune is a high-performance graph database engine purpose-built and optimized for storing billions of relationships and query graphs with millisecond latency. Amazon Neptune supports the W3C common RDF and property graph models, as well as their respective query languages, TinkerPop, Gremlin, and SPARQL. This allows you to easily build queries that efficiently navigate highly connected datasets. Neptune offers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security.

Amazon Neptune is highly available, with read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across Availability Zones. Neptune is secure, with support for encrypted HTTPS client connections and encryption at rest. Neptune is fully managed, so you no longer need to worry about database administration tasks such as hardware provisioning, software patching, installation, configuration, or backups.

Analyze all your data with the fastest and most widely used data warehouse in the cloud.

Set up, operate, and scale a relational database in the cloud with just a few clicks.

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale relational databases in the cloud. The service offers scalable, cost-effective capacity and automates time-consuming administration tasks such as hardware provisioning, database configuration, patching, and backups. That way, you can focus on the fast performance, high availability, security, and compliance your applications require.

Amazon RDS is available in several database instance types, optimized for memory, performance, or I/O, and offers six common database engines, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. You can use AWS Database Migration Service to easily migrate or replicate existing databases to Amazon RDS.

Amazon Route 53.

A reliable and cost-effective way to direct end users to Internet applications.

Amazon Route 53 is a highly available and scalable cloud-based Domain Name System (DNS) web service. It is designed to provide developers and businesses with a highly reliable and cost-effective way to direct end users to internet applications by converting names like www.example.com into numeric IP addresses like 192.0.2.1, which computers use to connect to each other. Amazon Route 53 also fully supports IPv6.

Amazon S3.

Object storage built to store and retrieve any volume of data from any location.

Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. This means customers of all sizes and industries can use it to store and protect any amount of data across multiple use cases, including data lakes, websites, mobile applications, backup and restore, archiving, enterprise applications, IoT devices, and big data analytics. Amazon S3 provides easy-to-use management capabilities so you can organize your data and configure fine-grained access controls to meet specific business, organizational, and compliance requirements. Amazon S3 is designed for 99.999999999% (11 nines) durability and stores data for millions of applications for businesses worldwide.

AWS Database Migration Service.

Migrate your databases to AWS with minimal downtime. Over 450,000 databases migrated through the AWS Database Migration Service.

AWS Database Migration Service helps you migrate databases to AWS quickly and securely. The source database remains fully operational during the migration, minimizing downtime for applications that rely on the database. AWS Database Migration Service can migrate data from most popular commercial and open-source databases.

AWS Database Migration Service enables seamless migrations, such as from Oracle to Oracle, as well as heterogeneous migrations between different database platforms, such as from Oracle or Microsoft SQL Server to Amazon Aurora. With AWS Database Migration Service, you can continuously replicate data with high availability and consolidate databases into a petabyte-scale data warehouse by streaming data to Amazon Redshift and Amazon S3. Learn more about supported source and target databases.

When you migrate databases to Amazon Aurora, Amazon Redshift, Amazon DynamoDB, or Amazon DocumentDB (with MongoDB support), you can use the free DMS for six months.

IoT services for industrial, consumer, and commercial use solutions.

There are billions of devices in homes, factories, oil wells, hospitals, cars, and thousands of other locations. As devices proliferate, you increasingly need solutions to connect them and collect, store, and analyze device data.

Connect devices to the cloud easily and securely. Scale reliably to billions of devices and trillions of messages.

AWS IoT Core allows you to connect IoT devices to the AWS Cloud without the need to provision or manage servers. AWS IoT Core can support billions of devices and trillions of messages, and reliably and securely process and route those messages to AWS endpoints and other devices. With AWS IoT Core, applications can keep track of all your devices and communicate with them at any time, even when they are offline.

AWS IoT Core also makes it easy to use AWS and Amazon services such as AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, Amazon QuickSight, and Alexa Voice Service to build IoT applications that collect, process, and analyze data generated by connected devices and take action based on that data, without the need to manage any infrastructure.

Run code without worrying about servers or clusters. Pay only for what you use.

AWS Lambda is a serverless computing service that lets you run code without provisioning or managing servers, creating workload-aware cluster sizing logic, maintaining event integrations, or managing runtimes. With Lambda, you can run code for virtually any type of back-end application or service, all without management. Simply upload your code as a ZIP file or container image, and Lambda automatically and accurately allocates computing power and executes your code based on the incoming request or event, for any traffic size. You can configure your code to be automatically triggered by over 200 AWS products and SaaS applications, or call it directly using any mobile or web app. You can write Lambda functions in any language you like (Node.js, Python, Go, Java, and more) and use container or serverless tools like AWS SAM or Docker CLI to build, test, and deploy functions.